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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Malekjafarian, Abdollah
University College Dublin
in Cooperation with on an Cooperation-Score of 37%
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Publications (13/13 displayed)
- 2024Predicting the duration of motorway incidents using machine learningcitations
- 2023Methodological Framework for Assessing and Strengthening the Resistance of Railway Critical Infrastructure Elements
- 2022Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Studycitations
- 2021Measuring traffic load on Forth Road Suspension Bridge using Weigh-InMotion and image data
- 2020Identifying Critical Clusters of Traffic-Loading Events in Recurrent Congested Conditions on a Long-Span Road Bridgecitations
- 2019Estimation of traffic load effects on Forth Road Bridge using camera measurements
- 2019Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic datacitations
- 2018Estimation of traffic load effects on Forth Road Bridge using camera measurements
- 2017Damage detection using curvatures obtained from vehicle measurementscitations
- 2017On the use of a passing vehicle for the estimation of bridge mode shapescitations
- 2017On the use of drive-by measurement for indirect bridge monitoring
- 2017Application of empirical mode decomposition to drive-by bridge damage detectioncitations
- 2016A mode shape-based damage detection approach using laser measurement from a vehicle crossing a simply supported bridgecitations
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article
Application of empirical mode decomposition to drive-by bridge damage detection
Abstract
A new method is proposed in this paper for bridge damage detection using the response measured in a passing vehicle. It is shown theoretically that such a response includes three main components; vehicle frequency, bridge natural frequency and a vehicle speed pseudo-frequency component. The Empirical Mode Decomposition (EMD) method is used to decompose the signal into its main components. A damage detection method is proposed using the Intrinsic Mode Functions (IMFs) corresponding to the vehicle speed component of the response measured on the passing vehicle. Numerical case studies using Finite Element modelling of Vehicle Bridge Interaction are used to show the performance of the proposed method. It is demonstrated that it can successfully localise the damage location in the absence of road profile. A difference in the acceleration signals of healthy and corresponding damaged structures is used to identify the damage location in the presence of a road profile. The performance of the method for changes in the transverse position of the vehicle on the bridge is also studied. ; Science Foundation Ireland ; Transport Infrastructure Ireland (TII)
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